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A torque estimator using online tuning grey fuzzy PID for applications to torque-sensorless control of DC motors
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Liem, Dao Thanh, Truong, Dinh Quang and Ahn, Kyoung Kwan (2015) A torque estimator using online tuning grey fuzzy PID for applications to torque-sensorless control of DC motors. Mechatronics, 26 . pp. 45-63. doi:10.1016/j.mechatronics.2015.01.004 ISSN 0957-4158.
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Official URL: http://dx.doi.org/10.1016/j.mechatronics.2015.01.0...
Abstract
DC motors are used indispensably in industrial applications because they provide such advantages as small size, high speed, low construction cost, and safe operation. A major area of research in DC motors is to determine a better method to measure the torque of motor shaft. The traditional way to measure the mechanical torque of a rotating shaft is attachment a torque transducer in the transmission system between the driving motor and the load. However, this technique requires additional parts for the transmission system, which makes the design more complicated, time consuming, costly in construction, and in many cases impossible to achieve.
The purpose of this paper is to present a new method for estimating the load torque of a DC motor shaft by using a novel modelling method based on an adaptive control technique, named as online tuning grey fuzzy PID (OTGFPID). A test rig using a DC motor is setup to investigate the torque behaviour as well as to evaluate the developed estimator. Firstly, mathematical model is developed for the motor. Secondly, the experimental speed-torque data and the optimized motor model is used to optimize the torque estimator. Then the optimized estimator is used to estimate accurately the load torque. Finally, the capability of the optimized torque estimator has been validated with the practical experiments in comparison with a typical estimation method.
| Item Type: | Journal Article | ||||||||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||
| Journal or Publication Title: | Mechatronics | ||||||||||
| Publisher: | Pergamon Press | ||||||||||
| ISSN: | 0957-4158 | ||||||||||
| Official Date: | March 2015 | ||||||||||
| Dates: |
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| Volume: | 26 | ||||||||||
| Page Range: | pp. 45-63 | ||||||||||
| DOI: | 10.1016/j.mechatronics.2015.01.004 | ||||||||||
| Status: | Peer Reviewed | ||||||||||
| Publication Status: | Published | ||||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||||
| Adapted As: |
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